Literature DB >> 35617120

Partial response electromyography as a marker of action stopping.

Liisa Raud1,2, Christina Thunberg2,3, René J Huster2,3.   

Abstract

Response inhibition is among the core constructs of cognitive control. It is notoriously difficult to quantify from overt behavior, since the outcome of successful inhibition is the lack of a behavioral response. Currently, the most common measure of action stopping, and by proxy response inhibition, is the model-based stop signal reaction time (SSRT) derived from the stop signal task. Recently, partial response electromyography (prEMG) has been introduced as a complementary physiological measure to capture individual stopping latencies. PrEMG refers to muscle activity initiated by the go signal that plummets after the stop signal before its accumulation to a full response. Whereas neither the SSRT nor the prEMG is an unambiguous marker for neural processes underlying response inhibition, our analysis indicates that the prEMG peak latency is better suited to investigate brain mechanisms of action stopping. This study is a methodological resource with a comprehensive overview of the psychometric properties of the prEMG in a stop signal task, and further provides practical tips for data collection and analysis.
© 2022, Raud et al.

Entities:  

Keywords:  electromyography; human; neuroscience; response inhibition; stop signal task

Mesh:

Year:  2022        PMID: 35617120      PMCID: PMC9203056          DOI: 10.7554/eLife.70332

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  60 in total

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Authors:  P Skippen; W R Fulham; P T Michie; D Matzke; A Heathcote; F Karayanidis
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Review 7.  Deficits in behavioural inhibition in substance abuse and addiction: a meta-analysis.

Authors:  Janette L Smith; Richard P Mattick; Sharna D Jamadar; Jaimi M Iredale
Journal:  Drug Alcohol Depend       Date:  2014-08-24       Impact factor: 4.492

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Authors:  Jonathan Lipszyc; Russell Schachar
Journal:  J Int Neuropsychol Soc       Date:  2010-08-19       Impact factor: 2.892

9.  Temporal cascade of frontal, motor and muscle processes underlying human action-stopping.

Authors:  Sumitash Jana; Ricci Hannah; Vignesh Muralidharan; Adam R Aron
Journal:  Elife       Date:  2020-03-18       Impact factor: 8.140

10.  Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development (ABCD) study.

Authors:  Patrick G Bissett; McKenzie P Hagen; Henry M Jones; Russell A Poldrack
Journal:  Elife       Date:  2021-03-04       Impact factor: 8.140

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  1 in total

Review 1.  Partial response electromyography as a marker of action stopping.

Authors:  Liisa Raud; Christina Thunberg; René J Huster
Journal:  Elife       Date:  2022-05-26       Impact factor: 8.713

  1 in total

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